Testing Taylor’s Law in Urban Population Dynamics Worldwide with Simultaneous Equation Models

Knowledge of long-term population trends is still incomplete at the global scale. In this perspective, human and animal ecology has intensively studied the relationship between the Mean (M) size and the Variance (V) of specific attributes of subpopulations within a given regional system. One of the best-known relationships between these two attributes suitable to describe long-term population trends is governed by Taylor’s law (TL). The present article contributes to the recent literature on population trends worldwide by testing the long-term relationship (1950–2015) between the overall variance and mean in the total population of 1857 metropolitan agglomerations in 155 countries classified into 9 world macro-regions. To estimate the unknown parameter(s) of the V–M relation we made use of a simultaneous equation system using both linear (classical TL) and quadratic specifications, with the aim of ascertaining a wide range of simplified (or more complex) association rules between the two dimensions of demographic change. The empirical results show that TL is verified in all nine cases, although a quadratic relationship provides slightly better results than the classical, linear relationship. More specifically, similar estimates for both linear and quadratic relationships were characteristic of ‘new’ demographic continents with more recent and intense urbanization processes (the Americas, and African and Asian countries). The predominance of quadratic relationships characterized regions with long-established urbanization processes, such as Europe, Russia, and, partly, China and the Middle East. The relevance of the TL for a refined understanding of urbanization mechanisms worldwide, and the importance of a quadratic term for distinguishing metropolitan systems that have experienced different development paths, were finally discussed

Validation of Three Body Composition Techniques with a Comparison of Ultrasound Abdominal Fat Depths against an Octopolar Bioelectrical Impedance Device

International Journal of Exercise Science 5(3) : 205-213, 2012. The aims of this study were to cross-validate three clinical-grade measures of body composition, using an octopolar Bioelectrical Impedance (BIA), an ultrasound analyzer (US) and Air-Displacement Plethysmography (ADP) and second to compare the US scans of total abdominal, subcutaneous and visceral fat depths (mm) against the trunk percent fat (%BF) from the octopolar BIA. Twenty-six college-aged (22.9 ± 1.35 years) men (n = 18) and women (n = 8) volunteered to participate in this study. Body composition was assessed using BIA (total and by segments), ADP and US. In addition, total abdominal, subcutaneous and visceral fat layers were measured using the US. All measurements were done in accordance with manufacturers’ guidelines. The %BF comparing the three clinical grade machines were all significantly correlated and no significant differences were found using a 1-way ANOVA. All three fat depths were significantly correlated to the trunk fat % via BIA, while significant differences were found for the 1-way ANOVA. A Tukey post-hoc test showed significant differences between the BIA trunk %BF and both subcutaneous and visceral US fat depths. Having valid ways to measure body composition and visceral fat that is accessible in terms of being transportable, cost effective, and simple to use, should become a part of preventive medicine

Beetles "in red": are the endangered flat bark beetles Cucujus cinnaberinus and C. haematodes chemically protected? (Coleoptera: Cucujidae)

Two native species of the genus Cucujus show a wide geographic distribution in Europe, Cucujus cinnaberinus (Scopoli, 1763) and C. haematodes Erichson, 1845. Although data on the distribution and ecology of these rare and endangered species are increasing, there are few reports on their biology and behaviour, and some aspects of their feeding ecology remain problematic. Our aim was to study, for the first time, the cuticular chemical profiles of these two beetles to (i) investigate the presence of chemicals potentially involved in defence by pathogens and (ii) lay the foundation for understanding the role of their bright red colour. The analysis of the cuticular profile was performed in-vivo by solid phase microextraction coupled with gas chromatography-mass spectrometry. In the cuticular profiles of the two species we identified 24 compounds belonging to different classes of molecules, i.e. hydrocarbons, aldehydes, esters, n-alkyl morpholines, and a high number of organic acids. Qualitative differences in terms of both signal intensity and detected compounds were found between the two species. As reported in other insects, the remarkable array of avoidance substances suggests a strict relationship with the bright red colour of the adults, which probably acts as an aposematic or warning signal. European Cucujus species are probably well protected against enemies because some identified chemicals, particularly fatty acids, are related to an anti-predatory strategy to fight off predators that use their sense of smell to locate their prey. Other substances found on the cuticular layer of these beetles are probably involved in an antimicrobial and antifungal function, as demonstrated in other insects living in habitats that host many pathogens

Tackling Fuel Poverty in London

The challenge of economic and health inequalities caused by fuel poverty are rooted in the rise in fuel costs which have strong implications affecting the cost of living. Fuel costs and rising inflation due to economic and political reasons threaten individuals and families who are already struggling financially, putting them in/at risk of fuel poverty. The UK is one of the first countries to define the challenge of households living in fuel poverty prompting necessary actions, policies and interventions. This study presents the results of an empirical investigation following direct enquires to the Greater London Authority (GLA) and all of London boroughs via Freedom of Information (FOI) requests on retrofit interventions, including an overview of financial incentives and planning assessments with an aim to increase the number of home energy upgrades since April 2021. London adopted its own action plan in 2018 to renew its focus and alleviate more than 350,000 households in fuel poverty (GLA, 2018). The assessment and indicator for fuel poverty has changed over time, from the Low Income High Cost (LIHC) to Low Income Low Energy Efficiency (LILEE) indicator in 2021. However, identifying households in fuel poverty remains challenging and some indicators are somewhat disconnected from what is happening on the ground. The findings suggest that there is a need to establish tools and methodologies that are connected to the national and local context. Fuel poverty is affecting people’s health and well-being, particularly those already facing socio-economic and health inequalities. After the COVID pandemic, a political awareness of fuel poverty is found in the Mayoral manifesto, however the Fuel Poverty Action Plan does not have binding targets and is not regularly updated. Current Fuel Poverty Partnership Tasks are focusing on awareness and communication or the urgent support to households already affected, but not in tackling the root causes of fuel poverty in upgrading fuel poor homes. The uptake on retrofits from 2021 is still low and far from reaching 100k homes and the net zero target in 2030 is approaching fast. The study concludes that while LILEE is decreasing other indicators are increasing with rising energy prices. The London Building Stock Model is not widely used by boroughs, and it only maps the Energy Performance Certificate (EPC) rating which is not sufficient to identify households in fuel poverty. Most schemes such as Energy Companies Obligation (ECO) do not specifically target fuel poverty but have a wider scope of retrofit towards net zero. The Mayor of London should explore a new indicator tool by crossing data from LBSM with socio-economic data to identify fuel poor households more accurately. The indicator could potentially include geographical location, building typology (age, etc), socio-economic / demographics, leading to action plan and retrofit strategies

Wake-up Stroke Outcome Prediction by Interpretable Decision Tree Model

Outcome prediction in wake-up ischemic stroke (WUS) is important for guiding treatment strategies, in order to improve recovery and minimize disability. We aimed at producing an interpretable model to predict a good outcome (NIHSS 7-day<5) in thrombolysis treated WUS patients by using Classification and Regression Tree (CART) method. The study encompassed 104 WUS patients and we used a dataset consisting of demographic, clinical and neuroimaging features. The model was produced by CART with Gini split criterion and evaluated by using 5-fold cross-validation. The produced decision tree model was based on NIHSS at admission, ischemic core volume and age features. The predictive accuracy of model was 86.5% and the AUC-ROC was 0.88. In conclusion, in this preliminary study we identified interpretable model based on clinical and neuroimaging features to predict clinical outcome in thrombolysis treated wake-up stroke patients

e-Health solution for home patient telemonitoring in early post-acute TIA/Minor stroke during COVID-19 pandemic

Background: When it comes to critical early post-acute TIA/stroke phase, there is a lack of a comprehensive multi-parametric telemonitoring system. The COVID-19 emergency, its related global mobility restrictions and fear of hospitalization further highlighted the need of a comprehensive solution. Objective: We aimed to design and test a pragmatic e-Health system based on multiparametric telemonitoring to support of TIA/stroke patients in sub-acute phase during the COVID-19 pandemic. Methods: We proposed a telemonitoring system and protocol for TIA/minor stroke patients during COVID-19 pandemic for patients at risk of stroke recurrence. This system involves the use of portable devices for BP/HR/SpO2/temperature sensing, panic-button, gateway, and a dedicated ICT platform. The protocol is a 14-day multiparametric telemonitoring, therapy, and emergency intervention based on vital sign alteration notifications. We conducted a proof-of-concept validation test on 8 TIA/minor stroke patients in the early post-acute phase (&lt; 14 days from ischemic event). Results: The proposed solution allowed to promptly and remotely identify vital sign alterations at home during the early post-acute phase, allowing therapy and behavioral intervention adjustments. Also, we observed a significant improvement of quality of life, as well as a significant reduction of anxiety and depression status. TUQ showed ease of use, good interface quality and high user satisfaction of the proposed solution. The 3-month follow-up showed total adherence of prescribed therapy and no stroke/TIA recurrence or other emergency department admissions. Conclusion: The proposed e-Health solution and telemonitoring protocol may be highly useful for early post-acute remote patient management, thus supporting constant monitoring and patient adherence to the treatment pathway, especially during the COVID-19 emergency

Drug design and synthesis of first in class PDZ1 targeting NHERF1 inhibitors as anticancer agents

Targeted approaches aiming at modulating NHERF1 activity, rather than its overall expression, would be preferred to preserve the normal functions of this versatile protein. We focused our attention on the NHERF1/PDZ1 domain that governs its membrane recruitment/displacement through a transient phosphorylation switch. We herein report the design and synthesis of novel NHERF1 PDZ1 domain inhibitors. These compounds have potential therapeutic value when used in combination with antagonists of β-catenin to augment apoptotic death of colorectal cancer cells refractory to currently available Wnt/β-catenin-targeted agents

Platelet aggregation is affected by nitrosothiols in patients with chronic hepatitis: in vivo and in vitro studies

AIM: To investigate the relationship among the number of platelets and plasma levels of S-nitrosothiols (S-NO), nitrite, total non-protein SH (NPSH), glutathione (GSH), cysteine (CYS), malondialdehyde (MDA), 4-hydroxininenal (4HNE), tumor necrosis factor-alpha (TNFalpha) and interleukin (IL)-6 in patients with chronic hepatitis C (CH). METHODS: In vitro the aggregation of platelets derived from controls and CH patients was evaluated before and after the addition of adenosine diphosphate (ADP) and collagen, both in basal conditions and after incubation with nitrosoglutathione (GSNO). RESULTS: In vivo, S-NO plasma levels increased significantly in CH patients and they were significantly directly correlated with platelet numbers. Patients with platelet counts 150000/microL. In vitro, the ADP and collagen aggregation time was increased in platelets from patients and not from controls; in addition, platelets from CH patients but not from controls also showed a latency time after exposure to collagen

Further evidence for a non-cortical origin of mirror movements after stroke.

Ejaz et al. (2018) are to be commended for showing no evidence for a cortical origin of post-stroke mirror movements. Using functional MRI during affected-finger presses in recovering adult-onset stroke patients, they found no consistent relationship between contralesional sensorimotor cortex (cSM1) activation and quantitative indices of mirror movements; specifically, mirror movements were not linked to the presence of cSM1 overactivation, arguing against the classic ‘transcallosal’ mechanism heretofore widely believed to cause mirror movements (Di Pino et al., 2014). We wish to report findings—previously published in abstract form (Calautti, 2008)—that further support the idea that mirror movements are not cortically mediated. We also present data that confirm that mirror movements can involve the affected (i.e. paretic) hand during movement of the unaffected (i.e. non-paretic) hand, also arguing in favour of disruption of a bilaterally-organized system